While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Technical Architect- Data
Experience: 8-10+ Years
Work Location: Bangalore / Mumbai
Timings: 11AM - 7PM IST
Key Responsibilities
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Design, develop, and maintain scalable data engineering and analytics solutions for enterprise data platforms.
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Build and optimize ETL/ELT pipelines for ingestion, transformation, and processing of large-scale structured and unstructured data.
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Develop conceptual, logical, and physical data models including metadata, lineage, and technical definitions.
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Architect and implement data warehouse and data lake solutions.
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Define architecture standards, blueprints, accelerators, and interoperability patterns.
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Work closely with Product Owners, Business Analysts, Data Architects, Data Scientists, and BI teams to translate business requirements into technical solutions.
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Design and implement dimensional models, fact tables, and data transformation/cleansing processes.
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Develop scalable and high-performance data processing pipelines for enterprise reporting and analytics.
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Ensure data governance, data quality, security, privacy, and lifecycle management standards are implemented.
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Provide production support for ETL processes and ensure data availability and integrity.
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Create technical documentation, data flow diagrams, and architecture artifacts.
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Conduct solution reviews and ensure compliance with enterprise architecture standards.
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Mentor and guide data engineers and technical teams across multiple locations.
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Support evaluation and implementation of emerging technologies and lead proof-of-concept initiatives.
Required Skills & Experience:
Data Engineering & Database Skills
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Strong experience in Data Warehousing, Data Engineering, and Data Integration projects.
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Expertise in ETL/ELT frameworks, OLAP systems, Data Lakes, and enterprise data platforms.
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Strong SQL programming and query optimization skills.
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Experience with:
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Oracle PL/SQL
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MS SQL Server
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PostgreSQL
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MySQL
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Strong understanding of database design, data modeling, and architecture principles.
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Cloud & Big Data Technologies
Hands-on experience with:
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Google Cloud Platform (GCP)
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BigQuery
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Cloud SQL
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Composer (Airflow)
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Dataflow
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Dataproc
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Cloud Functions
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Google Cloud Storage (GCS)
Experience with Azure technologies including:
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Azure Data Factory (ADF)
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Azure Data Lake Storage (ADLS)
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Databricks
Knowledge of AWS cloud services is a plus.
Integration & Data Tools
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Experience with Informatica and PowerExchange integrations.
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Experience integrating data from Mainframe, Salesforce, ERP, CRM, HRIS, and other enterprise systems.
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Strong knowledge of APIs, XML, JSON, and modern data integration techniques.
Good to have:
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SQL Server Reporting Services (SSRS)
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SQL Server Integration Services (SSIS)
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Dremio
Architecture & Governance
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Experience defining enterprise data architecture and reference frameworks.
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Knowledge of data governance, metadata management, master/reference data, and data quality practices.
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Experience implementing security controls and privacy standards for sensitive data.
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Ability to perform sizing, estimation, and costing for data solutions.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Experience working in Agile and Scrum environments.
- Ability to lead distributed teams and mentor engineers across locations.
- Strong organizational and multitasking capabilities.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
